Staff Data Engineer: AWS Data Platform & Pipelines

Dexcom; San Diego (CA); On-site; USD 116,600 - 194,400; Full time

Benefits offered by this job

CGM technology

Benefits program

Growth opportunities

Tuition reimbursement

Career development

Job summary

Dexcom is a global leader in continuous glucose monitoring and is seeking a Staff Data Engineer to join the Commercial Data Science & Revenue Operations team. You will design and build data services that ingest from 12+ vendor sources, orchestrate pipelines, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives.

You will own AWS-native development workflows, ensure data quality, implement monitoring, and collaborate with Privacy, Security, and IT to

Qualifications

• Bachelor's degree in a technical discipline required.
• 8–12 years of related experience or 5–7 years with a PhD.
• Experience designing dimensional models and data warehouses.
• Strong SQL skills, performance tuning, and debugging.

Responsibilities

• Design and build data pipelines ingesting vendor data into S3 and Redshift.
• Own AWS-native workflows using Lambda, Glue, CDK, and Step Functions.
• Implement data quality frameworks ensuring completeness and freshness.
• Build alerting and reliability playbooks to shorten MTTD/MTTR.
• Model and evolve the data warehouse schema with documented lineage.
• Partner with Privacy, Security, and IT on governance and compliance.

Skills

AWS

Python

SQL

Data pipelines

CDK

Lambda

Glue

Redshift

CI/CD

Data governance

Observability

Education

Bachelor's degree in a technical discipline

Master’s degree in a technical field

PhD in a technical field

Tools

GitHub Actions

AWS CDK

Lambda

Step Functions

Redshift

S3

Job description

Dexcom is a global leader in continuous glucose monitoring and is seeking a Staff Data Engineer to join the Commercial Data Science & Revenue Operations team. You will design and build data services that ingest from 12+ vendor sources, orchestrate pipelines, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives.

You will own AWS-native development workflows, ensure data quality, implement monitoring, and collaborate with Privacy, Security, and IT to